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Intro of Key Features of Soft CAAT Ent Software

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Intro of Key Features of Soft CAAT Ent Software

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This presentation provides a brief overview of SoftCAAT Ent with use cases. SoftCAAT Ent is a data analytics/BI software used by CAs and CXOs for Assurance, Compliance and Fraud Investigations.

This presentation provides a brief overview of SoftCAAT Ent with use cases. SoftCAAT Ent is a data analytics/BI software used by CAs and CXOs for Assurance, Compliance and Fraud Investigations.

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Intro of Key Features of Soft CAAT Ent Software

  1. 1. Intro of Key Features of SoftCAAT Ent Version Perform Powerful Data Analytics in a few Clicks! Using Comprehensive Data Analytics Software https://www.wincaat.com
  2. 2. Global Leading Solution Provider in Data Analytics for Empowering Professionals to realise potential by Applying Thought to Technology. Revolutionize Assurance, Compliance and Consulting Services by Providing Powerful Tools & Techniques for Performing Data Analytics, BI and AI.
  3. 3. With Innovative Software Solutions, We Empower CAs & CXOs to Harness: Power of Technology to Provide Value Addition through IT-Enabled Service offerings. Subject Matter Expertise and Domain Knowledge to Provide Existing and Innovative Services. Professional Potential to Provide Value Addition as Knowledge Workers and be more Effective and Productive.
  4. 4. Higher use of Technology. Greater Value Addition and Serve your Clients in Shorter Time with Deploying Systems and Solutions for Scaling up Services for Empowering you to:
  5. 5. Home
  6. 6. All-purpose standalone/indepen dent application SW. Makes Data Analytics Simple, Effective, Affordable and Powerful. Designed with Assurance, Control and Conformance perspective to access, analyse and interrogate data from multiple files/ formats. Designed with Simplicity of Spreadsheet Software and backed with Power of a Database with inbuilt DA approach and steps. Perform various types of audit tests on any structured data in one go in a few clicks with minimal learning curve! Why use SoftCAAT Ent? Data Analytics Simplified!
  7. 7. SoftCAAT Ent: Data Analytics Simplified An all-purpose standalone/independent application software which makes Data Analytics Simple, Effective, Affordable and powerful with short learning curve. Designed exclusively with Assurance, Control and Conformance perspective Identify irregularities, exceptions, outliers & verify conformances/compliances in digital data. Access, analyse and interrogate data from multiple files/ formats. Designed with the Simplicity of a Spreadsheet Software and backed with Power of a Database. Maintains auto documentation of functions performed with date and time stamp to re-perform as and when required and for future reference of audit process trail. Enables users to perform various types of audit tests on any structured data in one go in a few clicks!
  8. 8. Comparison of SoftCAAT Ent & Pro Versions
  9. 9. Comparison of SoftCAAT Ent & Pro Versions
  10. 10. Intro
  11. 11. How is Audit Environment Today? Pervasive use of Technology Software and Apps Run businesses Data is on the Cloud Data is generated digitally eFiling and online Compliances Most of Data is Digital Auto Conversion of Transactions Integration of Transactions
  12. 12. Challenges of Auditing Digital Data Huge volume of transactions – online/real-time Minimal or no audit/transaction trail Speed of processing (online) with limited input records Integrity of data at different stages of processing Controls shift from physical to digital IT is backbone for processing all business transactions IT knowledge is key skill requirement IT knowledge is to be continually updated Knowledge of CAAT/Data Analytics is imperative
  13. 13. Technology Usage/Impact: By Design or Default? Using Technology For Auditing Digital Data of Digital Economy Innovative Service Models to Provide Services using Technology Systems and Processes to Enable Scaling Up Need to Use Digital Tools and Techniques to Audit Digital Data
  14. 14. The Future will be exponentially Digital. Chartered Accountants can Future-proof their career with Knowledge and skills of Data Analytics to enhance value from their core competencies. We have a host of solutions with inbuilt knowledge-base in the field of Data Analytics to prepare you for this Digital Age. Future is Digital and the need is Data Analytics
  15. 15. We have Invested time and resources to Creating Suite of Solutions with required Knowledge-base. We empower you with Online Courses to Explore and Exploit the Digital Data with relevant Tools and Technologies!
  16. 16. What
  17. 17. All-purpose standalone/indepen dent application SW. Makes Data Analytics Simple, Effective, Affordable and Powerful. Designed with Assurance, Control and Conformance perspective to access, analyse and interrogate data from multiple files/ formats. Designed with Simplicity of Spreadsheet Software and backed with Power of a Database with inbuilt DA approach and steps. Perform various types of audit tests on any structured data in one go in a few clicks with minimal learning curve! What is SoftCAAT Ent? Data Analytics Simplified!
  18. 18. Who can use SoftCAAT? • Auditors: Financial, Compliance or IT, CXOs, Fraud/Forensics investigator…. Those who are working as: • Infer Insights from Information from any electronic format or software! Those who have to use Data Analytics to: • Enhance skills, grow in their career and be more effective. Those who would like to: • Use IT Tools and skills for accessing, analysing and auditing electronic information. Those who have to: • Supplement their Knowledge and Skills to provide value addition Those who have to: • Investigate and report on frauds in electronic information of automated environment. Those who have to:
  19. 19. Data Analytics Skills: a “Want” or a “Necessity” •Data is the lifeblood of a modern enterprise. •Data analytics is a must- have capability for the audit function and is widely expected to become a big part of its future.
  20. 20. What are CAATs? Computer Assisted Audit Techniques (CAATs) Computer Assisted Audit Tools and Techniques (CAATTs) Facilitate auditors to increase their personal productivity as well as that of audit function and add value Software tools for auditors to access, analyse and interpret data, and to draw an opinion for an audit objective. Leverage power of technology for providing better assurance Empower Auditors to Access and Analyse Digital Data from Any Software in any format.
  21. 21. Functional Capabilities of CAATs • Enables the reading of different record formats and file structures File access: • Enables the indexing, sorting, merging and linking with another file File reorganization: • Enables global filtration conditions and selection criteria Data selection: • Enables sampling, stratification and frequency analysis Statistical functions: • Enables arithmetic operators and functions Arithmetical functions:
  22. 22. Functional Capabilities of CAATs What Specific objective s that should be addressed by the analysis When Define the period of time that will be audited, and arrange with IT personnel to secure the data for that period Where Define the sources of the data to be analyzed (Accounts Payable, Payroll) Why Reason for performing the tests and analysis (general review, Audit, FI, BI or MIS) How Types of analysis planned to be carried out by the audit (be dynamic in changing your tests as required)
  23. 23. CAATTs/Analytics: Key features • Review large population and determine true areas of risk to Isolate “red flags” and drill down. Drill-down analysis: • Begin with entire population and filter for transactions matching specific criteria. Exception analysis: • Compare separate data files and look for disparities or matches (e.g., phantom vendors) File matching:
  24. 24. When to Use Data Analytics?
  25. 25. What can you do with Data Analytics?
  26. 26. Why
  27. 27. Why Use SoftCAAT?
  28. 28. Need for Data Analytics in age of Digital Disruption Technology is driving rapid transformation in diverse and dynamic ways New Business models and information systems are rapidly implemented Software- driven information systems are key differentiator for enterprises High impact of ever-changing technology on enterprises and professionals
  29. 29. Automatic Audit Trail of analysis performed to facilitate peer review and context of the findings and to rerun functions as required. Standardise Methods for Access, Processing and Performing Data Analysis. Requires minimum IT support for Data Access or Analysis to ensure auditor independence. Provides Ability to Automate Audit tasks to Increase Audit Efficiency, Repeatability, and Support with Standard/Uniform approach to Performing Analytics/BI. Why Use CAATs in Audit?
  30. 30. Why Use CAATs in Audit? Analyse entire data population as per scope and Objective of Assignment. Importing data is easy and done in a few clicks and ensures data integrity. Access, Join, Relate and compare data from multiple tables/sources. Functions support scope and type of analysis as required with dynamic analysis
  31. 31. Seven Key Benefits of using CAATs/Data Analytics 1. Enhance your Skills and Tools 2. Increase productivity of your Time 3. Provide better Assurance & Add value 4. Grow your Professional Team & Esteem. 5. Accelerate your Income earning capability. 6. Develop empowering Reach & Impact. 7. Gain recognition as a thought Leader.
  32. 32. Is there a better way to Provide Assurance? •Provide Assurance •Ensure Compliance •Provide Value Addition •Be more Productive •Be more Effective •Be more Timely There is a Better Way to:
  33. 33. How
  34. 34. Data is the New Oil? Use Analytics as Engines to use Data?
  35. 35. 3 USEFUL SETS OF PROFESSIONALS Mindset SkillSet Toolset 47
  36. 36. When to use CAATs/Data Analytics/BI? Mathematics is exact but Statistics is approximate Data is dumb but information is intelligent Data Analysis is about leveraging human intelligence Inference requires more application of intelligence Drawing inference from data analytics is based on applying human intelligence to technology to get required results. Immense computing power helps blend the power of computers with intelligence to interpret what data is.
  37. 37. Using Data Analytics is an Art and a Science Data Analytics is an art requires understanding of business process and application of techniques to specific areas of control to identify: CAs are best suited to Perform Data Analytics with their core competencies in the areas of: • Conformance • Deviations • Exceptions • Variances • Business processes, • Compliances, • Assurance and Finance We empower CAs with the Key Knowledge and Skills (the science) of Data Analytics which is critical to Apply to Digital data (the art) to provide Value Addition.
  38. 38. How to use CAATs in Audit?
  39. 39. Using DA in Audit Process Set Assignment Objectives and Plan strategy for execution Understand 1. Business model 2. Digital Platform 3. Control Areas Walk through 1. Processes 2. Documents Obtain Data in Digital Format Report Findings and Recommendations Evaluate Insights and Findings in Business Context Analyse Findings Perform Audit Tests to Identify Risks and Insights
  40. 40. Seven Steps for Performing Data Analytics 1. Identify Objectives & Deliverable 2. Identify Data & Platform 3. Understand Process & System 4. Document Controls & Tests 5. Apply Tools & Techniques 6. Draw Inferences & Insights 7. Prepare Outputs & Reports
  41. 41. Systematic Approach to Using CAATs Set Objectives Set Test Objectives Obtain Relevant Data Identify Tools & Techniques Perform Tests on the Data Evaluate Evidence to infer Insights Review Findings as per Business Context Report Findings and Recommendations
  42. 42. Sample Process Flow of Sales Order: Evaluate & Confirm Controls in the Data Elements of Each Stage as Applicable Sales Order - from Customer Pricing - Material/ Customer Material - check availability Customer - check credit history Dispatch - to customer Finished Stock - update Invoicing - to customer Collection - from customer
  43. 43. Key Features
  44. 44. Key Features
  45. 45. Panels Brief Description of Panels in SoftCAAT Ent File Home Provides options to create an auditee, audit, file and password. Provides options to import different types of files as selected for performing functions. Curate Transform data in a standard structure to be usable for data analysis as required. Curation of data ensures that data is formatted and purified for use in data analytics. Profile Analyse the data elements to get an overall perspective of data. This helps in validating data at a macro level and assessing whether the data is correct and complete. Analysis Examine the data in detail to discover essential features by breaking data into specific components by grouping, identifying and reviewing specific features. Explore Explore the data elements in detail to discover essential features by breaking data into specific components by grouping, identifying and reviewing specific features. Investigate Trendline Observe or interrogate the data in detail. This involves systematic examination of data by making a detailed inquiry or search to discover facts and insights. Groups items as per trendline for selected group and displays relevant trend values in columns with Sparklines or charts based on results of various types of analysis. Relate Provides options to join, append or compare data in two tables based on specific criteria. Sampling Provides options to extract specific samples from population based on specified criteria. Utilities Tools Provides unique functions which complement & enhance use of SQL and save time. Provides specific functions which aid in simplifying routine tasks performed in SQL.
  46. 46. File & Home • File • Auditee • Audit • File • Password • Home • Import Data • Copy, Navigate • Columns • Tree, Find In • Find • View Details • View File In Provides options to create a auditee, audit, file and password. Provides options to Import different types of files as selected for performing functions of software.
  47. 47. Curate •Remove Characters •Remove Spaces •Remove 'X' Characters •Delete •Convert •Format Case Curate refers to transforming data in a standard structure to be usable for data analysis as required. Curation of data ensures that data is formatted and purified for use in data analytics. Specific functions:
  48. 48. Profile •Statistics •Stratify •Summarize •Totals •Classification •Data •Search Data profiling refers to the act of analysing the data contents to get an overall perspective of data. This helps in validating data at a macro level and assessing whether the data is correct and complete. Specific functions:
  49. 49. Analysis • Identify Duplicates • Gaps • Outliers By • Identify • Change Seq. • Fuzzy Match • Sort • Filter • Split Table By Analysis refers to examining the data in detail to discover essential features by breaking data into specific components by grouping, identifying and reviewing specific features. Specific functions:
  50. 50. Explore •Classifier •Stratum •Analysis Explore refers to examining the data in detail to discover essential features by breaking data into specific components by grouping, identifying and reviewing specific features. Specific functions:
  51. 51. Investigate & Trendline • Investigate • Query • Statistics • Templates • 3D Reports • Trendline • Stratify • Classified • Classification • Analysis • Results Investigate refers to observing or inquiring the data in detail. This involves systematic examination of data by making a detailed inquiry or search to discover facts and insights to be able to come to a conclusion. Trendline: Groups items as per trendline for selected group and displays relevant trend values in columns with Sparklines or charts based on results of various types of analysis. Specific functions:
  52. 52. Relate & Sampling •Relate has 6 functions •Sampling •Stratify •Classification •Profile •Classifier •Analysis On Result Relate: Provides options to join, append or compare data in two tables based on specific criteria. Sampling: Provides options to extract specific samples from the population based on specified criteria. Specific functions:
  53. 53. Utilities & Tools • Utilities • Columns • Extract • Files • Analytical • Rerun • Tools • Audit Table, Audit Log • Comments, Settings Utilities refers to host of functions which provide unique functions which complement and enhance use of SQL. Tools refers to specific functions which simplify routine tasks performed in SQL. Specific functions:
  54. 54. Functions
  55. 55. Use Cases
  56. 56. Generic Use Case of SoftCAAT Ent: What can you do with it? • SoftCAAT is an all-purpose Standalone/Independent application software which makes Data Analytics Simple, Effective, Affordable and Powerful with Short Learning Curve. • SoftCAAT is designed exclusively with Assurance, Control and Conformance perspective to Identify Irregularities, Exceptions, Outliers, Verify Conformances and Compliances and Generate various BI/MIS reports from the Digital Data. • Users can Access, Analyse and Interrogate data from Multiple Files/Formats. • SoftCAAT is designed with the Simplicity of a Spreadsheet Software and backed with Power of a Database. • SoftCAAT maintains auto documentation of functions performed with date and time stamp to re-perform as and when required and for future reference of audit process trail. • SoftCAAT enables users to perform various types of audit tests on any structured data in one go in a few clicks!
  57. 57. Generic Use Case of SoftCAAT Ent: Walk-through of Functions • SoftCAAT is an Independent Data Analytics/BI Software with MS Access Database as the back-end. It is exclusively designed to perform complex data analysis dynamically in a few clicks. • The user must first import the data from any of the multiple formats and then perform any of the more than 230 Functions. User has a quick walk-through of Tabs which include: • File • Home • Curate • Profile • Analysis • Explore • Investigate • Trendline • Relate • Sampling • Utilities • Tools
  58. 58. Generic Use Case of SoftCAAT Ent: User has walk-through of the various powerful functions available in Panels of: • Import Data • Remove • Format Case • Statistics • Stratify • Summarize • Data • Search • Identify Duplicates • Identify Gaps • Change Seq. • Sort • Filter • Analysis • Explore • 3D Reports-Stratify • 3D Reports • Selection • Profile • Criteria • Stratify • Analysis On Result • Columns • Files • Rerun • Split by • Audit Table • Audit Log
  59. 59. Generic Use Case of SoftCAAT Ent: Understand Relevant Functions • The user selects the relevant functions in the File Tab to create an auditee, audit, relevant files and sets password as required. • The user select the relevant functions in the Home Tab to Import different types of files as required for performing functions of software. • The user selects the relevant functions in Curate Tab to transform data in a standard structure to be usable for data analysis as required. Curation of data ensures that data is formatted and purified for use in data analytics. • The user selects the relevant functions in Analysis Tab to analyse the data to get an overall perspective of data. This enables the user to validate data at a macro level and in assessing whether the data is correct and complete.
  60. 60. Generic Use Case of SoftCAAT Ent: Understand Relevant Functions • The user select the relevant functions in the Explore/Investigate Tab to examine the data in detail to discover essential features by breaking data into specific components by grouping, identifying and reviewing specific features. • The user selects the relevant functions in the Relate Tab which provides options to join, append or compare data in two tables based on specific criteria. • The user selects the relevant functions in Sampling Tab to extract specific samples from the population based on specified criteria. • The user selects the relevant functions in Utilities Tab to perform unique functions which complement, enhance and simplify routine tasks performed in Excel and Save Time. • The user select the relevant functions in the Documents Tab to record critical steps of data analytics.
  61. 61. Generic Use case of SoftCAAT Ent: Key Benefits • The user gets practical exposure of how SoftCAAT Ent Software provides independent access to auditee data and makes Data Analytics Simple, Effective and use the powerful features with minimal training. • The user imports the data from different formats and then perform various types of audit tests as required. • The user discovers that it is not necessary to depend on IT personnel to get reports instead he/she requests for data in required format to be exported from the database and provided using which the user imports the data into the software and perform analysis and interrogation of data as per specific needs of the assignment. • Using SoftCAAT Ent, the user specifically Identifies Irregularities, Exceptions, Outliers and does further analysis as required and reports the relevant findings and recommendations with the evidence, to management. • The auto documentation feature records date and time stamp for all the functions performed so that it can be used as record of work done and to re-perform as and when required. • The user finds that SoftCAAT Ent Software can be used for various types of assignments such as Assurance, Verifying Controls and Validating Conformances with Statutory Regulations as required. You can see the Complete List of Functions with Brief Description at: https://wincaat.com/Features_SoftCAATEnt/Functions.aspx
  62. 62. Specific Use case of HR Management
  63. 63. Control Objectives: HR Management • i. Whether the company maintains proper records of all employee with details of date of their joining, promotions, salary, regulatory details and deployment within the enterprise. Maintenance of Records • ii. Whether the enterprise has comprehensive policies and procedures covering life cycle of the employment from joining to departure and privacy and security procedures to be followed by each of the employees. Policies & Procedures • iii. Whether salary computation is being done as per employment terms and disbursement is done to the bank account of the employee as per employment terms Salary Computation • iv. Whether all the regulatory compliances pertaining to the employees are strictly adhered to covering the deduction and remittances of taxes, payment of regulatory dues on time, filing of regulatory returns, etc. Regulatory Compliances
  64. 64. Illustrative Control Objectives Financial Assertions • Additions to the payroll master files represent valid employees. • Existence • All new employees are added to the payroll master files. Terminated employees are removed from the payroll master files. • Completeness, Existence • Employees are terminated only within statutory and union requirements. • Completeness • Deletions from the payroll master files represent valid terminations. • Completeness • All time worked is input. • Completeness • Time worked is accurately input and processed. • Valuation • Payroll is recorded in the appropriate period. • Valuation • Payroll (including compensation and withholdings) is accurately calculated & recorded. • Valuation • Payroll is disbursed to appropriate employees. • Existence • Only valid changes are made to the payroll master files. • Existence, Completeness • All valid changes to the payroll master files are input and processed. • Existence, Completeness • Changes to the payroll master files are accurate. • Valuation • Changes to the payroll master files are processed in a timely manner. • Existence, Completeness • Payroll master file data remain up to date. • Existence, Completeness • Only valid changes are made to the payroll withholding tables. • Existence, Completeness • All valid changes to the payroll withholding tables are input and processed. • Existence, Completeness • Changes to the payroll withholding tables are accurate. • Valuation • Changes to the payroll withholding tables are promptly processed. • Existence, Completeness • Payroll withholding table data remain up to date. • Existence, Completeness
  65. 65. Sample Areas for Review in HR Management Employees With The Same Address Employees With The Same Name Employees With The Same Bank Details Duplicate Personal Identitification Numbers Invalid Personal Identitification Numbe Blank Critical Data – Bank Details Blank Critical Data – Phone Numbers Blank Critical Data – PAN/Aadhar No. Employees Terminated Within 120 or specified days Of Their Hire Date Employee Master Data Changes Made Over A Weekend
  66. 66. Area: Employees with the Same Address • Employees with similar details should be investigated. These instances may indicate errors with employee master data or fictitiously created employees. Context • Incomplete and/or incorrect employee master file data or the creation of fictitious employees can result in financial loss if payments are to be made to these non-employees. Risk • Identifies employees with the same address. Note: Married employees or those cohabiting may be false positives. Procedure • Extracts all employee master files and analyses the residential addresses of employees for duplicates. Analytic Logic
  67. 67. Area: Employees with the Same Name • Employees with the same details should be investigated. These instances may indicate errors with employee master data or fictitiously created employees. Context • Incomplete and/or incorrect employee master file data or the creation of fictitious employees can result in financial loss if payments are to be made to these non-employees. Risk • Identifies employees with the same first name and surname. Procedure • Extracts all employee master file records and analyses the combined first name and surname of employees, highlighting duplicates in the results. Analytic Logic
  68. 68. Area: Employees with the Same Bank Details • Employees with similar details should be investigated. These instances may indicate errors with employee master data or fictitiously created employees. Context • Incomplete and/or incorrect employee master file data or the creation of fictitious employees can result in financial loss if payments are to be made to these non-employees. Risk • Identifies employees with the same bank details. Note: Married employees or those cohabiting may cause false positives. Procedure • Extracts all employee master file records and analyses the bank account number and branch code of employees in the employee master data and identifies duplicate records. Analytic Logic
  69. 69. Area: Duplicate Personal Identification Nos. • Duplicate Personal Identification Numbers should not exist and should be investigated as these instances could be a result of incorrect employee master data or fictitiously created employees. Context • Incomplete and/or incorrect employee master file data or the creation of fictitious employees can result in financial loss if payments are to be made to these non-employees. Risk • Identifies duplicate Personal Identification Numbers. Procedure • Extracts and analyses all employee master data records and highlights all records where duplicate Personal Identification Numbers exist. Analytic Logic
  70. 70. Area: Invalid Personal Identification Nos. • Complete and accurate data is essential for accuracy of transactional execution as well as providing a sound basis for governance checks. Critical data fields should be complete and valid for all employees to achieve these objectives. Context • Incorrect employee master file data resulting in possible incorrect and/or fraudulent payments. Risk • Identifies invalid Personal Identification Numbers. Procedure • Extracts all the employee records and analyses the Personal Identification Numbers field to ensure it meets the correct format for the selected country. Analytic Logic
  71. 71. Area: Blank Critical Data – Bank Details • Complete and accurate data is essential for accuracy of transactional execution as well as providing a sound basis for governance checks. Critical data fields should be completed for all employees to achieve these objectives. Context • Incorrect employee master file data resulting in possible incorrect and/or fraudulent payments. Risk • Identifies blank bank details on the employee master file. Procedure • Extracts and analyses all employee master data records and highlights all those with blank bank details fields. Analytic Logic
  72. 72. Area: Blank Critical Data – Phone Nos. • Complete and accurate data is essential for accuracy of transactional execution as well as providing a sound basis for governance checks. Critical data fields should be completed for all employees to achieve these objectives. Context • Incorrect employee master file data resulting in possible incorrect and/or fraudulent payments. Risk • Identifies blank phone number details on the employee master file. Procedure • Extracts and analyses all employee master data records and highlights all those with blank phone number fields. Analytic Logic
  73. 73. Area: Blank Critical Data – PAN/Aadhar No. • Complete and accurate data is essential for accuracy of transactional execution as well as providing a sound basis for governance checks. Critical data fields should be completed for all employees to achieve these objectives. Context • Incorrect employee master file data resulting in possible incorrect and/or fraudulent payments. Risk • Identifies blank or invalid or duplicate PAN/Aadhar Number details on the employee master file. Procedure • Extracts and analyses all employee master data records and highlights all those with blank or invalid or duplicate fields in PAN/Aadhar Nos. Analytic Logic
  74. 74. Area: Employees Terminated Within 120 or Specified Days Of their Hire Date • An employee termination shortly after employment date may be due to a lack of employee performance during the probation period, but could also be because of fake employees being created and removed shortly thereafter. Context • Incomplete and/or incorrect employee master file data or the creation of fictitious employees can result in financial loss if payments are to be made to these non-employees. Risk • Identifies employees terminated within 120 days or specified days of their hire date. Note: Contractors may need to be filtered out to avoid false positives caused by short term contracts. Procedure • Extracts all employee master file records and analyses the start date and termination date, highlighting all employees whose records indicate they ended their employment within 120 days or specified days of their start date. Analytic Logic
  75. 75. Area: Employee Master Data Changes Made Over A Weekend • Changes to employee master data are expected to be performed during normal business hours. Changes made over a weekend should be investigated as this could indicate possible suspicious activity. Context • Unauthorised and/or invalid employee master data changes. Risk • Identifies employee master changes made over a weekend. Note: Possible false positives due to hard cut-off dates for capturing of employee information for payroll. Procedure • Extracts the system dates attached to a change and analyses change dates to employee master data that corresponds to a weekend day. Analytic Logic
  76. 76. Specific Use Case: HR Management Sample CAAT Queries Performed 1. Summarize/stratify salaries by department/grade etc. 2. Summarize payroll distribution for reconciliation to general ledger 3. Analyze, summarize and compare costs for special pay, overtime, premium, etc. 4. Cast (total) gross pay, net pay, deductions and any other value fields 5. Extract all payroll checks where the gross amount exceeds the set amount 6. Reasonableness of tax code, pay/grade comparison, hours worked, overtime claimed, sick days taken, vacation days taken, date of birth (over 16, under 65), bonuses and other allowances, gross pay, hourly rates, salary amounts, exemptions, etc. 7. Duplicate employees (Social Insurance, National Insurance, Social Security numbers, Employee numbers) on payroll file 8. Duplicate bank account details 9. Duplicate names and dates of birth 10. Comparison of payroll files at two dates to determine recorded starters and leavers (hires and terminations), and if changes in pay are as expected 11. Join payroll transactions file to payroll master file to determine if there are “ghost” employees on the payroll 12. Compare online time-card entries and pay to payroll and indicate variances 13. Compare vendor addresses/phone numbers and employee addresses/phone numbers to identify conflicts-of-interest 92
  77. 77. All-purpose standalone/indepen dent application SW. Makes Data Analytics Simple, Effective, Affordable and Powerful. Designed with Assurance, Control and Conformance perspective to access, analyse and interrogate data from multiple files/ formats. Designed with Simplicity of Spreadsheet Software and backed with Power of a Database with inbuilt DA approach and steps. Perform various types of audit tests on any structured data in one go in a few clicks with minimal learning curve! Why use SoftCAAT Ent? Data Analytics Simplified!
  78. 78. Thank you! Questions? sales@wincaat.com rafeq@wincaat.com

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